# This file is licensed under the Apache License v2.0 with LLVM Exceptions.
# See https://llvm.org/LICENSE.txt for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception

"""Rules and macros for MLIR"""

def if_cuda_available(if_true, if_false = []):
    return select({
        # CUDA is not yet supported.
        "//conditions:default": if_false,
    })

def _cc_headers_only_impl(ctx):
    return CcInfo(compilation_context = ctx.attr.src[CcInfo].compilation_context)

cc_headers_only = rule(
    implementation = _cc_headers_only_impl,
    attrs = {
        "src": attr.label(
            mandatory = True,
            providers = [CcInfo],
        ),
    },
    doc = "Provides the headers from 'src' without linking anything.",
    provides = [CcInfo],
)

def mlir_c_api_cc_library(
        name,
        srcs = [],
        hdrs = [],
        deps = [],
        header_deps = [],
        **kwargs):
    """Macro that generates three targets for MLIR C API libraries.

    * A standard cc_library target ("Name"),
    * A header-only cc_library target ("NameHeaders")
    * An implementation cc_library target tagged `alwayslink` suitable for
      inclusion in a shared library built with cc_binary() ("NameObjects").
    """

    native.cc_library(
        name = name,
        srcs = srcs,
        hdrs = hdrs,
        deps = deps + header_deps,
        **kwargs
    )
    native.cc_library(
        name = name + "Headers",
        hdrs = hdrs,
        deps = header_deps,
        **kwargs
    )
    native.cc_library(
        name = name + "Objects",
        srcs = srcs,
        hdrs = hdrs,
        deps = deps + header_deps,
        alwayslink = True,
        **kwargs
    )